Add missing functions, update index and update sumMap

docs/en/sql-reference/aggregate-functions/parametric-functions.md

@@ -509,6 +509,8 @@ HAVING uniqUpTo(4)(UserID) >= 5
 
 Same behavior as [sumMap](../../sql-reference/aggregate-functions/reference/summap.md#agg_functions-summap) except that an array of keys is passed as a parameter. This can be especially useful when working with a high cardinality of keys.
 
+## sumMapFilteredWithOverflow
+
 ## sequenceNextNode
 
 Returns a value of the next event that matched an event chain.

docs/en/sql-reference/aggregate-functions/reference/index.md

@@ -65,6 +65,9 @@ ClickHouse-specific aggregate functions:
 - [groupBitmapXor](/docs/en/sql-reference/aggregate-functions/reference/groupbitmapxor.md)
 - [sumWithOverflow](/docs/en/sql-reference/aggregate-functions/reference/sumwithoverflow.md)
 - [sumMap](/docs/en/sql-reference/aggregate-functions/reference/summap.md)
+- [sumMapWithOverflow](/docs/en/sql-reference/aggregate-functions/reference/summapwithoverflow.md)
+- [sumMapFiltered](/docs/en/sql-reference/aggregate-functions/reference/summapfiltered.md)
+- [sumMapFilteredWithOverflow](/docs/en/sql-reference/aggregate-functions/reference/summapfilteredwithoverflow.md)
 - [minMap](/docs/en/sql-reference/aggregate-functions/reference/minmap.md)
 - [maxMap](/docs/en/sql-reference/aggregate-functions/reference/maxmap.md)
 - [skewSamp](/docs/en/sql-reference/aggregate-functions/reference/skewsamp.md)

docs/en/sql-reference/aggregate-functions/reference/summap.md

@@ -5,21 +5,31 @@ sidebar_position: 141
 
 # sumMap
 
-Syntax: `sumMap(key <Array>, value <Array>)` [Array type](../../data-types/array.md) or `sumMap(Tuple(key <Array>, value <Array>))` [Tuple type](../../data-types/tuple.md).
+Totals a `value` array according to the keys specified in the `key` array. Returns a tuple of two arrays: keys in sorted order, and values ​​summed for the corresponding keys.
 
-Arguments: 
+**Syntax**
+
+- `sumMap(key <Array>, value <Array>)` [Array type](../../data-types/array.md).
+- `sumMap(Tuple(key <Array>, value <Array>))` [Tuple type](../../data-types/tuple.md).
 
 Alias: `sumMappedArrays`.
 
-Totals the `value` array according to the keys specified in the `key` array.
+**Arguments** 
 
-Passing tuple of keys and values arrays is a synonym to passing two arrays of keys and values.
+- `key`. [Array](../../data-types/array.md) of keys.
+- `value`. [Array](../../data-types/array.md) of values.
 
+Passing a tuple of key and value arrays is a synonym to passing seperately an array of keys and an array of values.
+
+:::note 
 The number of elements in `key` and `value` must be the same for each row that is totaled.
+:::
 
-Returns a tuple of two arrays: keys in sorted order, and values ​​summed for the corresponding keys.
+**Example**
 
-Example:
+First we create a table called `sum_map`, and insert some data into it. Arrays of keys and values are stored separately as a column called `statusMap` of [Nested](../../data-types/nested-data-structures/index.md) type, and together as a column called `statusMapTuple` of [tuple](../../data-types/tuple.md) type to illustrate the use of the two different syntaxes of this function described above.
+
+Query:
 
 ``` sql
 CREATE TABLE sum_map(
@@ -31,13 +41,20 @@ CREATE TABLE sum_map(
     ),
     statusMapTuple Tuple(Array(Int32), Array(Int32))
 ) ENGINE = Log;
-
+```
+```sql
 INSERT INTO sum_map VALUES
     ('2000-01-01', '2000-01-01 00:00:00', [1, 2, 3], [10, 10, 10], ([1, 2, 3], [10, 10, 10])),
     ('2000-01-01', '2000-01-01 00:00:00', [3, 4, 5], [10, 10, 10], ([3, 4, 5], [10, 10, 10])),
     ('2000-01-01', '2000-01-01 00:01:00', [4, 5, 6], [10, 10, 10], ([4, 5, 6], [10, 10, 10])),
     ('2000-01-01', '2000-01-01 00:01:00', [6, 7, 8], [10, 10, 10], ([6, 7, 8], [10, 10, 10]));
+```
 
+Next, we query the table using the `sumMap` function, making use of both array and tuple type syntaxes:
+
+Query:
+
+``` sql
 SELECT
     timeslot,
     sumMap(statusMap.status, statusMap.requests),
@@ -46,6 +63,8 @@ FROM sum_map
 GROUP BY timeslot
 ```
 
+Result:
+
 ``` text
 ┌────────────timeslot─┬─sumMap(statusMap.status, statusMap.requests)─┬─sumMap(statusMapTuple)─────────┐
 │ 2000-01-01 00:00:00 │ ([1,2,3,4,5],[10,10,20,10,10])               │ ([1,2,3,4,5],[10,10,20,10,10]) │
@@ -55,4 +74,4 @@ GROUP BY timeslot
 
 **See Also**
     
-- [-Map combinator for Map datatype](../combinators.md#-map)
+- [Map combinator for Map datatype](../combinators.md#-map)

docs/en/sql-reference/aggregate-functions/reference/summapfiltered.md

@@ -0,0 +1,6 @@
+---
+slug: /en/sql-reference/aggregate-functions/reference/summapfiltered
+sidebar_position: 141
+---
+
+# sumMapFiltered

docs/en/sql-reference/aggregate-functions/reference/summapfilteredwithoverflow.md

@@ -0,0 +1,6 @@
+---
+slug: /en/sql-reference/aggregate-functions/reference/summapfilteredwithoverflow
+sidebar_position: 141
+---
+
+# sumMapFilteredWithOverflow

docs/en/sql-reference/aggregate-functions/reference/summapwithoverflow.md

@@ -0,0 +1,7 @@
+---
+slug: /en/sql-reference/aggregate-functions/reference/summapwithoverflow
+sidebar_position: 141
+---
+
+# sumMapWithOverflow
+